Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	9132
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.9 MiB
Average record size in memory	216.0 B

Variable types

Categorical	7
Text	11
Numeric	9

Alerts

is_remote is highly imbalanced (81.7%) Imbalance

Reproduction

Analysis started	2024-07-06 05:53:52.252549
Analysis finished	2024-07-06 05:54:08.993366
Duration	16.74 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

Job_role
Categorical

Distinct	32
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Software Developer	1065
Software Engineer	922
Web Developer	812
Data Analyst	762
Data Scientist	540
Other values (27)	5031

Length

Max length	30
Median length	21
Mean length	15.318441
Min length	7

Characters and Unicode

Total characters	139888
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Data Analyst
2nd row	Data Analyst
3rd row	Data Analyst
4th row	Data Analyst
5th row	Data Analyst

Common Values

Value	Count	Frequency (%)
Software Developer	1065	11.7%
Software Engineer	922	10.1%
Web Developer	812	8.9%
Data Analyst	762	8.3%
Data Scientist	540	5.9%
Web Designer	461	5.0%
Digital Marketing Executive	361	4.0%
Sr. Data Analyst	324	3.5%
Content Writer	303	3.3%
Associate	284	3.1%
Other values (22)	3298	36.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
developer	2251	12.1%
data	2244	12.1%
software	2183	11.7%
engineer	1586	8.5%
executive	1463	7.9%
analyst	1432	7.7%
web	1273	6.8%
scientist	688	3.7%
sr	668	3.6%
business	536	2.9%
Other values (22)	4287	23.0%

Most occurring characters

Value	Count	Frequency (%)
e	21765	15.6%
t	11979	8.6%
a	10399	7.4%
	9479	6.8%
r	9111	6.5%
n	8192	5.9%
i	7378	5.3%
o	6230	4.5%
D	5664	4.0%
l	5163	3.7%
Other values (31)	44528	31.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	110368	78.9%
Uppercase Letter	18960	13.6%
Space Separator	9479	6.8%
Other Punctuation	859	0.6%
Connector Punctuation	222	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	21765	19.7%
t	11979	10.9%
a	10399	9.4%
r	9111	8.3%
n	8192	7.4%
i	7378	6.7%
o	6230	5.6%
l	5163	4.7%
s	5011	4.5%
v	3984	3.6%
Other values (13)	21156	19.2%

Uppercase Letter

Value	Count	Frequency (%)
D	5664	29.9%
S	4091	21.6%
E	3187	16.8%
A	1845	9.7%
W	1576	8.3%
M	645	3.4%
C	619	3.3%
B	536	2.8%
O	257	1.4%
R	234	1.2%
Other values (4)	306	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	748	87.1%
/	111	12.9%

Space Separator

Value	Count	Frequency (%)
	9479	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	222	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	129328	92.5%
Common	10560	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	21765	16.8%
t	11979	9.3%
a	10399	8.0%
r	9111	7.0%
n	8192	6.3%
i	7378	5.7%
o	6230	4.8%
D	5664	4.4%
l	5163	4.0%
s	5011	3.9%
Other values (27)	38436	29.7%

Common

Value	Count	Frequency (%)
	9479	89.8%
.	748	7.1%
_	222	2.1%
/	111	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	139888	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	21765	15.6%
t	11979	8.6%
a	10399	7.4%
	9479	6.8%
r	9111	6.5%
n	8192	5.9%
i	7378	5.3%
o	6230	4.5%
D	5664	4.0%
l	5163	3.7%
Other values (31)	44528	31.8%

Company
Text

Distinct	5095
Distinct (%)	55.8%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	100
Median length	60
Mean length	16.403417
Min length	1

Characters and Unicode

Total characters	149796
Distinct characters	82
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3654 ?
Unique (%)	40.0%

Sample

1st row	Outscal Technologies
2nd row	Redbus
3rd row	Amiha Agro
4th row	A K Infra Reality Developers
5th row	Bolla Management

Value	Count	Frequency (%)
solutions	643	3.2%
technologies	630	3.1%
ltd	434	2.1%
services	409	2.0%
pvt	395	2.0%
software	265	1.3%
india	246	1.2%
accenture	228	1.1%
consulting	220	1.1%
infotech	196	1.0%
Other values (5841)	16587	81.9%

Most occurring characters

Value	Count	Frequency (%)
e	13434	9.0%
	11147	7.4%
n	9846	6.6%
o	9802	6.5%
i	9569	6.4%
t	9173	6.1%
a	8507	5.7%
s	7497	5.0%
r	6943	4.6%
l	5775	3.9%
Other values (72)	58103	38.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	111723	74.6%
Uppercase Letter	25108	16.8%
Space Separator	11147	7.4%
Other Punctuation	962	0.6%
Decimal Number	414	0.3%
Close Punctuation	166	0.1%
Open Punctuation	166	0.1%
Dash Punctuation	100	0.1%
Math Symbol	5	< 0.1%
Connector Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	13434	12.0%
n	9846	8.8%
o	9802	8.8%
i	9569	8.6%
t	9173	8.2%
a	8507	7.6%
s	7497	6.7%
r	6943	6.2%
l	5775	5.2%
c	5211	4.7%
Other values (16)	25966	23.2%

Uppercase Letter

Value	Count	Frequency (%)
S	3430	13.7%
I	2263	9.0%
T	2229	8.9%
C	2001	8.0%
A	1791	7.1%
P	1505	6.0%
L	1384	5.5%
M	1261	5.0%
E	1248	5.0%
D	1060	4.2%
Other values (16)	6936	27.6%

Other Punctuation

Value	Count	Frequency (%)
.	639	66.4%
&	140	14.6%
;	85	8.8%
,	73	7.6%
/	12	1.2%
@	5	0.5%
'	3	0.3%
:	3	0.3%
\	1	0.1%
%	1	0.1%

Decimal Number

Value	Count	Frequency (%)
2	97	23.4%
7	78	18.8%
4	49	11.8%
0	47	11.4%
6	30	7.2%
1	28	6.8%
3	26	6.3%
5	24	5.8%
9	21	5.1%
8	14	3.4%

Close Punctuation

Value	Count	Frequency (%)
)	165	99.4%
]	1	0.6%

Open Punctuation

Value	Count	Frequency (%)
(	165	99.4%
[	1	0.6%

Math Symbol

Value	Count	Frequency (%)
+	3	60.0%
\|	2	40.0%

Space Separator

Value	Count	Frequency (%)
	11147	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	136831	91.3%
Common	12965	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	13434	9.8%
n	9846	7.2%
o	9802	7.2%
i	9569	7.0%
t	9173	6.7%
a	8507	6.2%
s	7497	5.5%
r	6943	5.1%
l	5775	4.2%
c	5211	3.8%
Other values (42)	51074	37.3%

Common

Value	Count	Frequency (%)
	11147	86.0%
.	639	4.9%
)	165	1.3%
(	165	1.3%
&	140	1.1%
-	100	0.8%
2	97	0.7%
;	85	0.7%
7	78	0.6%
,	73	0.6%
Other values (20)	276	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	149795	> 99.9%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	13434	9.0%
	11147	7.4%
n	9846	6.6%
o	9802	6.5%
i	9569	6.4%
t	9173	6.1%
a	8507	5.7%
s	7497	5.0%
r	6943	4.6%
l	5775	3.9%
Other values (71)	58102	38.8%

Punctuation

Value	Count	Frequency (%)
’	1	100.0%

job_pay
Real number (ℝ)

Distinct	7391
Distinct (%)	80.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	772692.83

Minimum	46093.75
Maximum	15750000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	46093.75
5-th percentile	257239.9
Q1	496791.28
median	695397.63
Q3	944418.71
95-th percentile	1478020.5
Maximum	15750000
Range	15703906
Interquartile range (IQR)	447627.43

Descriptive statistics

Standard deviation	487425.85
Coefficient of variation (CV)	0.63081452
Kurtosis	148.23838
Mean	772692.83
Median Absolute Deviation (MAD)	221351.64
Skewness	6.8871465
Sum	7.0562309 × 10⁹
Variance	2.3758396 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
350000	74	0.8%
325000	72	0.8%
450000	63	0.7%
300000	60	0.7%
343673.5147	58	0.6%
400000	51	0.6%
250000	49	0.5%
275000	46	0.5%
550000	41	0.4%
500000	37	0.4%
Other values (7381)	8581	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
46093.75	1	< 0.1%
50000	1	< 0.1%
55000	1	< 0.1%
60000	4	< 0.1%
65000	2	< 0.1%
66250	1	< 0.1%
68750	2	< 0.1%
75000	3	< 0.1%
76562.5	1	< 0.1%
82812.5	1	< 0.1%

Value	Count	Frequency (%)
15750000	1	< 0.1%
12750000	1	< 0.1%
6914741.071	1	< 0.1%
4660416.667	1	< 0.1%
4447596.822	1	< 0.1%
4252203.621	1	< 0.1%
4250000	1	< 0.1%
4235628.912	1	< 0.1%
4186134.595	1	< 0.1%
4170214.782	1	< 0.1%

location
Text

Distinct	1048
Distinct (%)	11.5%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	130
Median length	106
Mean length	13.273544
Min length	4

Characters and Unicode

Total characters	121214
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	719 ?
Unique (%)	7.9%

Sample

1st row	Remote
2nd row	Bangalore Rural
3rd row	Ahmedabad(Shyamal Cross Road)
4th row	Lucknow
5th row	Hyderabad(Kondapur)

Value	Count	Frequency (%)
bengaluru	1876	11.8%
delhi	1600	10.0%
mumbai	1271	8.0%
new	1240	7.8%
gurugram	1203	7.5%
noida	1046	6.6%
pune	965	6.1%
hyderabad	849	5.3%
chennai	805	5.1%
kolkata	510	3.2%
Other values (707)	4575	28.7%

Most occurring characters

Value	Count	Frequency (%)
a	15140	12.5%
u	10368	8.6%
e	10042	8.3%
r	8306	6.9%
	6810	5.6%
i	6588	5.4%
n	6195	5.1%
l	5383	4.4%
d	4952	4.1%
,	4340	3.6%
Other values (59)	43090	35.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91757	75.7%
Uppercase Letter	16472	13.6%
Space Separator	6810	5.6%
Other Punctuation	4742	3.9%
Open Punctuation	531	0.4%
Close Punctuation	531	0.4%
Dash Punctuation	161	0.1%
Decimal Number	153	0.1%
Math Symbol	57	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	15140	16.5%
u	10368	11.3%
e	10042	10.9%
r	8306	9.1%
i	6588	7.2%
n	6195	6.8%
l	5383	5.9%
d	4952	5.4%
g	4011	4.4%
h	3892	4.2%
Other values (15)	16880	18.4%

Uppercase Letter

Value	Count	Frequency (%)
N	2555	15.5%
B	2414	14.7%
D	1708	10.4%
G	1555	9.4%
M	1520	9.2%
H	1223	7.4%
P	1164	7.1%
C	1059	6.4%
K	771	4.7%
A	713	4.3%
Other values (15)	1790	10.9%

Decimal Number

Value	Count	Frequency (%)
1	45	29.4%
2	32	20.9%
6	16	10.5%
0	16	10.5%
3	14	9.2%
5	11	7.2%
4	10	6.5%
8	4	2.6%
9	3	2.0%
7	2	1.3%

Other Punctuation

Value	Count	Frequency (%)
,	4340	91.5%
/	395	8.3%
.	4	0.1%
&	3	0.1%

Space Separator

Value	Count	Frequency (%)
	6810	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	531	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	531	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	161	100.0%

Math Symbol

Value	Count	Frequency (%)
+	57	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	108229	89.3%
Common	12985	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	15140	14.0%
u	10368	9.6%
e	10042	9.3%
r	8306	7.7%
i	6588	6.1%
n	6195	5.7%
l	5383	5.0%
d	4952	4.6%
g	4011	3.7%
h	3892	3.6%
Other values (40)	33352	30.8%

Common

Value	Count	Frequency (%)
	6810	52.4%
,	4340	33.4%
(	531	4.1%
)	531	4.1%
/	395	3.0%
-	161	1.2%
+	57	0.4%
1	45	0.3%
2	32	0.2%
6	16	0.1%
Other values (9)	67	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121213	> 99.9%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	15140	12.5%
u	10368	8.6%
e	10042	8.3%
r	8306	6.9%
	6810	5.6%
i	6588	5.4%
n	6195	5.1%
l	5383	4.4%
d	4952	4.1%
,	4340	3.6%
Other values (58)	43089	35.5%

None

Value	Count	Frequency (%)
Â	1	100.0%

review
Real number (ℝ)

Distinct	41
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.810184

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2.2
Q1	3.5
median	4
Q3	4.3
95-th percentile	4.9
Maximum	5
Range	4
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	0.76833575
Coefficient of variation (CV)	0.20165319
Kurtosis	1.7893354
Mean	3.810184
Median Absolute Deviation (MAD)	0.4
Skewness	-1.1316837
Sum	34794.6
Variance	0.59033982
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
4	1039	11.4%
4.1	671	7.3%
4.2	584	6.4%
3.9	530	5.8%
3.8	526	5.8%
4.3	477	5.2%
3.7	455	5.0%
5	437	4.8%
3.6	427	4.7%
4.4	377	4.1%
Other values (31)	3609	39.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	49	0.5%
1.1	25	0.3%
1.2	34	0.4%
1.3	34	0.4%
1.4	17	0.2%
1.5	27	0.3%
1.6	20	0.2%
1.7	29	0.3%
1.8	28	0.3%
1.9	33	0.4%

Value	Count	Frequency (%)
5	437	4.8%
4.9	154	1.7%
4.8	202	2.2%
4.7	263	2.9%
4.6	189	2.1%
4.5	284	3.1%
4.4	377	4.1%
4.3	477	5.2%
4.2	584	6.4%
4.1	671	7.3%

Job post length
Real number (ℝ)

Distinct	66
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.848555

Minimum	3
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	3
5-th percentile	12
Q1	16
median	22
Q3	32
95-th percentile	53.45
Maximum	70
Range	67
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	12.875313
Coefficient of variation (CV)	0.49810573
Kurtosis	1.5108794
Mean	25.848555
Median Absolute Deviation (MAD)	7
Skewness	1.3187415
Sum	236049
Variance	165.77369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	596	6.5%
13	572	6.3%
14	502	5.5%
17	471	5.2%
16	411	4.5%
12	400	4.4%
25	354	3.9%
19	351	3.8%
20	322	3.5%
22	289	3.2%
Other values (56)	4864	53.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	4	< 0.1%
6	2	< 0.1%
7	19	0.2%
8	6	0.1%
9	33	0.4%
10	42	0.5%
11	91	1.0%
12	400	4.4%
13	572	6.3%
14	502	5.5%

Value	Count	Frequency (%)
70	52	0.6%
69	16	0.2%
68	33	0.4%
67	41	0.4%
66	19	0.2%
65	25	0.3%
64	21	0.2%
63	16	0.2%
62	24	0.3%
61	35	0.4%

min_year
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

2	4419
1	3202
0	1511

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9132
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	4419	48.4%
1	3202	35.1%
0	1511	16.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	4419	48.4%
1	3202	35.1%
0	1511	16.5%

Most occurring characters

Value	Count	Frequency (%)
2	4419	48.4%
1	3202	35.1%
0	1511	16.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9132	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	4419	48.4%
1	3202	35.1%
0	1511	16.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	9132	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	4419	48.4%
1	3202	35.1%
0	1511	16.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4419	48.4%
1	3202	35.1%
0	1511	16.5%

max_year
Real number (ℝ)

Distinct	18
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4250986

Minimum	0
Maximum	30
Zeros	54
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	7
Maximum	30
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6878186
Coefficient of variation (CV)	0.38141943
Kurtosis	9.3456492
Mean	4.4250986
Median Absolute Deviation (MAD)	1
Skewness	1.1700083
Sum	40410
Variance	2.8487315
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
5	2064	22.6%
3	1935	21.2%
4	1893	20.7%
6	1175	12.9%
2	963	10.5%
7	910	10.0%
8	63	0.7%
0	54	0.6%
10	38	0.4%
9	11	0.1%
Other values (8)	26	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	54	0.6%
2	963	10.5%
3	1935	21.2%
4	1893	20.7%
5	2064	22.6%
6	1175	12.9%
7	910	10.0%
8	63	0.7%
9	11	0.1%
10	38	0.4%

Value	Count	Frequency (%)
30	1	< 0.1%
20	2	< 0.1%
18	1	< 0.1%
16	1	< 0.1%
15	9	0.1%
13	3	< 0.1%
12	7	0.1%
11	2	< 0.1%
10	38	0.4%
9	11	0.1%

more_branch
Real number (ℝ)

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7947876

Minimum	0
Maximum	13
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	7
Maximum	13
Range	13
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.7469855
Coefficient of variation (CV)	0.97336618
Kurtosis	6.7652723
Mean	1.7947876
Median Absolute Deviation (MAD)	0
Skewness	2.6865869
Sum	16390
Variance	3.0519584
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	6529	71.5%
2	1164	12.7%
3	485	5.3%
8	388	4.2%
4	195	2.1%
5	194	2.1%
6	96	1.1%
7	52	0.6%
9	13	0.1%
11	8	0.1%
Other values (3)	8	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	6529	71.5%
2	1164	12.7%
3	485	5.3%
4	195	2.1%
5	194	2.1%
6	96	1.1%
7	52	0.6%
8	388	4.2%
9	13	0.1%

Value	Count	Frequency (%)
13	3	< 0.1%
11	8	0.1%
10	4	< 0.1%
9	13	0.1%
8	388	4.2%
7	52	0.6%
6	96	1.1%
5	194	2.1%
4	195	2.1%
3	485	5.3%

+3_branches
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

0	7694
1	1438

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9132
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring characters

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9132	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	9132	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

days
Real number (ℝ)

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.58191

Minimum	0
Maximum	30
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	4
median	14
Q3	30
95-th percentile	30
Maximum	30
Range	30
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	12.294597
Coefficient of variation (CV)	0.74144641
Kurtosis	-1.8770031
Mean	16.58191
Median Absolute Deviation (MAD)	10
Skewness	0.047275144
Sum	151426
Variance	151.15713
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
30	3695	40.5%
4	3157	34.6%
1	339	3.7%
5	200	2.2%
13	144	1.6%
7	138	1.5%
8	128	1.4%
6	116	1.3%
12	101	1.1%
15	91	1.0%
Other values (21)	1023	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	339	3.7%
2	62	0.7%
3	30	0.3%
4	3157	34.6%
5	200	2.2%
6	116	1.3%
7	138	1.5%
8	128	1.4%
9	27	0.3%

Value	Count	Frequency (%)
30	3695	40.5%
29	63	0.7%
28	60	0.7%
27	75	0.8%
26	61	0.7%
25	54	0.6%
24	22	0.2%
23	32	0.4%
22	84	0.9%
21	59	0.6%

skill_1
Text

Distinct	1561
Distinct (%)	17.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	227
Median length	37
Mean length	11.859286
Min length	1

Characters and Unicode

Total characters	108299
Distinct characters	39
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	891 ?
Unique (%)	9.8%

Sample

1st row	data analysis
2nd row	sql
3rd row	statistical data analysis
4th row	data visualization
5th row	vba coding

Value	Count	Frequency (%)
data	876	5.8%
analysis	755	5.0%
science	466	3.1%
computer	465	3.1%
management	377	2.5%
development	317	2.1%
web	247	1.6%
skills	247	1.6%
c	209	1.4%
marketing	203	1.3%
Other values (1172)	11014	72.6%

Most occurring characters

Value	Count	Frequency (%)
e	11048	10.2%
a	10820	10.0%
n	8659	8.0%
i	8405	7.8%
s	7972	7.4%
t	7830	7.2%
	6045	5.6%
c	5965	5.5%
o	5486	5.1%
r	5251	4.8%
Other values (29)	30818	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101811	94.0%
Space Separator	6045	5.6%
Other Punctuation	216	0.2%
Math Symbol	178	0.2%
Decimal Number	49	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11048	10.9%
a	10820	10.6%
n	8659	8.5%
i	8405	8.3%
s	7972	7.8%
t	7830	7.7%
c	5965	5.9%
o	5486	5.4%
r	5251	5.2%
l	5145	5.1%
Other values (16)	25230	24.8%

Decimal Number

Value	Count	Frequency (%)
2	25	51.0%
3	11	22.4%
0	5	10.2%
1	3	6.1%
5	2	4.1%
6	2	4.1%
4	1	2.0%

Other Punctuation

Value	Count	Frequency (%)
#	104	48.1%
.	97	44.9%
/	12	5.6%
&	3	1.4%

Space Separator

Value	Count	Frequency (%)
	6045	100.0%

Math Symbol

Value	Count	Frequency (%)
+	178	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101811	94.0%
Common	6488	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11048	10.9%
a	10820	10.6%
n	8659	8.5%
i	8405	8.3%
s	7972	7.8%
t	7830	7.7%
c	5965	5.9%
o	5486	5.4%
r	5251	5.2%
l	5145	5.1%
Other values (16)	25230	24.8%

Common

Value	Count	Frequency (%)
	6045	93.2%
+	178	2.7%
#	104	1.6%
.	97	1.5%
2	25	0.4%
/	12	0.2%
3	11	0.2%
0	5	0.1%
&	3	< 0.1%
1	3	< 0.1%
Other values (3)	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108299	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11048	10.2%
a	10820	10.0%
n	8659	8.0%
i	8405	7.8%
s	7972	7.4%
t	7830	7.2%
	6045	5.6%
c	5965	5.5%
o	5486	5.1%
r	5251	4.8%
Other values (29)	30818	28.5%

skill_2
Text

Distinct	1776
Distinct (%)	19.4%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	176
Median length	38
Mean length	11.604468
Min length	1

Characters and Unicode

Total characters	105972
Distinct characters	42
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1014 ?
Unique (%)	11.1%

Sample

1st row	data visualization
2nd row	mis reporting
3rd row	data analytics
4th row	data extraction
5th row	power bi

Value	Count	Frequency (%)
data	1016	6.8%
analysis	817	5.5%
web	478	3.2%
management	375	2.5%
development	301	2.0%
technologies	259	1.7%
c	217	1.4%
front	203	1.4%
end	199	1.3%
jquery	177	1.2%
Other values (1288)	10938	73.0%

Most occurring characters

Value	Count	Frequency (%)
a	11187	10.6%
e	10829	10.2%
n	8761	8.3%
t	7955	7.5%
i	7820	7.4%
s	7666	7.2%
	5853	5.5%
o	5715	5.4%
l	5203	4.9%
r	5084	4.8%
Other values (32)	29899	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99649	94.0%
Space Separator	5853	5.5%
Math Symbol	283	0.3%
Other Punctuation	121	0.1%
Decimal Number	65	0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	11187	11.2%
e	10829	10.9%
n	8761	8.8%
t	7955	8.0%
i	7820	7.8%
s	7666	7.7%
o	5715	5.7%
l	5203	5.2%
r	5084	5.1%
c	4970	5.0%
Other values (16)	24459	24.5%

Decimal Number

Value	Count	Frequency (%)
2	31	47.7%
3	11	16.9%
1	6	9.2%
0	5	7.7%
4	3	4.6%
9	3	4.6%
8	2	3.1%
5	2	3.1%
6	2	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	84	69.4%
#	24	19.8%
/	7	5.8%
&	6	5.0%

Space Separator

Value	Count	Frequency (%)
	5853	100.0%

Math Symbol

Value	Count	Frequency (%)
+	283	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	99649	94.0%
Common	6323	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	11187	11.2%
e	10829	10.9%
n	8761	8.8%
t	7955	8.0%
i	7820	7.8%
s	7666	7.7%
o	5715	5.7%
l	5203	5.2%
r	5084	5.1%
c	4970	5.0%
Other values (16)	24459	24.5%

Common

Value	Count	Frequency (%)
	5853	92.6%
+	283	4.5%
.	84	1.3%
2	31	0.5%
#	24	0.4%
3	11	0.2%
/	7	0.1%
&	6	0.1%
1	6	0.1%
0	5	0.1%
Other values (6)	13	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	105972	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	11187	10.6%
e	10829	10.2%
n	8761	8.3%
t	7955	7.5%
i	7820	7.4%
s	7666	7.2%
	5853	5.5%
o	5715	5.4%
l	5203	4.9%
r	5084	4.8%
Other values (32)	29899	28.2%

skill_3
Text

Distinct	1938
Distinct (%)	21.2%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	155
Median length	39
Mean length	11.713973
Min length	1

Characters and Unicode

Total characters	106972
Distinct characters	42
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1117 ?
Unique (%)	12.2%

Sample

1st row	tableau
2nd row	vlookup
3rd row	data visualization
4th row	statistics
5th row	advance excel

Value	Count	Frequency (%)
data	883	5.9%
web	612	4.1%
analysis	589	4.0%
management	454	3.1%
development	295	2.0%
technologies	279	1.9%
sql	234	1.6%
sales	183	1.2%
analytical	170	1.1%
coding	166	1.1%
Other values (1357)	11003	74.0%

Most occurring characters

Value	Count	Frequency (%)
e	11153	10.4%
a	10824	10.1%
n	8883	8.3%
i	7948	7.4%
t	7781	7.3%
s	7551	7.1%
o	5988	5.6%
	5740	5.4%
l	5548	5.2%
r	5032	4.7%
Other values (32)	30524	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100942	94.4%
Space Separator	5740	5.4%
Math Symbol	136	0.1%
Other Punctuation	101	0.1%
Decimal Number	49	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11153	11.0%
a	10824	10.7%
n	8883	8.8%
i	7948	7.9%
t	7781	7.7%
s	7551	7.5%
o	5988	5.9%
l	5548	5.5%
r	5032	5.0%
c	4979	4.9%
Other values (16)	25255	25.0%

Decimal Number

Value	Count	Frequency (%)
2	28	57.1%
3	8	16.3%
0	6	12.2%
4	3	6.1%
9	1	2.0%
1	1	2.0%
6	1	2.0%
5	1	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	79	78.2%
#	8	7.9%
/	8	7.9%
&	6	5.9%

Space Separator

Value	Count	Frequency (%)
	5740	100.0%

Math Symbol

Value	Count	Frequency (%)
+	136	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100942	94.4%
Common	6030	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11153	11.0%
a	10824	10.7%
n	8883	8.8%
i	7948	7.9%
t	7781	7.7%
s	7551	7.5%
o	5988	5.9%
l	5548	5.5%
r	5032	5.0%
c	4979	4.9%
Other values (16)	25255	25.0%

Common

Value	Count	Frequency (%)
	5740	95.2%
+	136	2.3%
.	79	1.3%
2	28	0.5%
3	8	0.1%
#	8	0.1%
/	8	0.1%
0	6	0.1%
&	6	0.1%
4	3	< 0.1%
Other values (6)	8	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	106972	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11153	10.4%
a	10824	10.1%
n	8883	8.3%
i	7948	7.4%
t	7781	7.3%
s	7551	7.1%
o	5988	5.6%
	5740	5.4%
l	5548	5.2%
r	5032	4.7%
Other values (32)	30524	28.5%

skill_4
Text

Distinct	1992
Distinct (%)	21.8%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	66
Median length	33
Mean length	11.617718
Min length	1

Characters and Unicode

Total characters	106093
Distinct characters	40
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1136 ?
Unique (%)	12.4%

Sample

1st row	python
2nd row	data analysis
3rd row	data reporting
4th row	data reporting
5th row	sql

Value	Count	Frequency (%)
data	637	4.4%
web	498	3.4%
management	443	3.1%
development	302	2.1%
sql	287	2.0%
analysis	286	2.0%
analytical	259	1.8%
technologies	200	1.4%
learning	196	1.4%
javascript	191	1.3%
Other values (1350)	11188	77.2%

Most occurring characters

Value	Count	Frequency (%)
e	11016	10.4%
a	10529	9.9%
n	8715	8.2%
i	8244	7.8%
t	7702	7.3%
s	7015	6.6%
o	5862	5.5%
l	5539	5.2%
	5357	5.0%
r	5258	5.0%
Other values (30)	30856	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100513	94.7%
Space Separator	5357	5.0%
Other Punctuation	103	0.1%
Decimal Number	64	0.1%
Math Symbol	56	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11016	11.0%
a	10529	10.5%
n	8715	8.7%
i	8244	8.2%
t	7702	7.7%
s	7015	7.0%
o	5862	5.8%
l	5539	5.5%
r	5258	5.2%
c	5194	5.2%
Other values (16)	25439	25.3%

Decimal Number

Value	Count	Frequency (%)
2	34	53.1%
3	11	17.2%
0	7	10.9%
4	5	7.8%
5	3	4.7%
6	2	3.1%
8	1	1.6%
1	1	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	83	80.6%
#	9	8.7%
/	8	7.8%
&	3	2.9%

Space Separator

Value	Count	Frequency (%)
	5357	100.0%

Math Symbol

Value	Count	Frequency (%)
+	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100513	94.7%
Common	5580	5.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11016	11.0%
a	10529	10.5%
n	8715	8.7%
i	8244	8.2%
t	7702	7.7%
s	7015	7.0%
o	5862	5.8%
l	5539	5.5%
r	5258	5.2%
c	5194	5.2%
Other values (16)	25439	25.3%

Common

Value	Count	Frequency (%)
	5357	96.0%
.	83	1.5%
+	56	1.0%
2	34	0.6%
3	11	0.2%
#	9	0.2%
/	8	0.1%
0	7	0.1%
4	5	0.1%
&	3	0.1%
Other values (4)	7	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	106093	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11016	10.4%
a	10529	9.9%
n	8715	8.2%
i	8244	7.8%
t	7702	7.3%
s	7015	6.6%
o	5862	5.5%
l	5539	5.2%
	5357	5.0%
r	5258	5.0%
Other values (30)	30856	29.1%

skill_5
Text

Distinct	2037
Distinct (%)	22.3%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	74
Median length	32
Mean length	11.578077
Min length	1

Characters and Unicode

Total characters	105731
Distinct characters	44
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1161 ?
Unique (%)	12.7%

Sample

1st row	sql
2nd row	advance excel
3rd row	reporting
4th row	analytics
5th row	sql

Value	Count	Frequency (%)
data	571	4.0%
web	466	3.3%
management	446	3.1%
development	387	2.7%
javascript	297	2.1%
analytical	252	1.8%
sql	248	1.7%
learning	214	1.5%
machine	211	1.5%
analysis	199	1.4%
Other values (1400)	10926	76.9%

Most occurring characters

Value	Count	Frequency (%)
e	10884	10.3%
a	10270	9.7%
n	8532	8.1%
i	8162	7.7%
t	7957	7.5%
s	6890	6.5%
o	5860	5.5%
r	5428	5.1%
l	5383	5.1%
c	5251	5.0%
Other values (34)	31114	29.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100470	95.0%
Space Separator	5085	4.8%
Other Punctuation	111	0.1%
Decimal Number	51	< 0.1%
Math Symbol	12	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10884	10.8%
a	10270	10.2%
n	8532	8.5%
i	8162	8.1%
t	7957	7.9%
s	6890	6.9%
o	5860	5.8%
r	5428	5.4%
l	5383	5.4%
c	5251	5.2%
Other values (16)	25853	25.7%

Decimal Number

Value	Count	Frequency (%)
2	14	27.5%
0	10	19.6%
3	8	15.7%
5	6	11.8%
1	5	9.8%
4	3	5.9%
8	2	3.9%
9	1	2.0%
6	1	2.0%
7	1	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	92	82.9%
&	7	6.3%
#	7	6.3%
/	5	4.5%

Space Separator

Value	Count	Frequency (%)
	5085	100.0%

Math Symbol

Value	Count	Frequency (%)
+	12	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100470	95.0%
Common	5261	5.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10884	10.8%
a	10270	10.2%
n	8532	8.5%
i	8162	8.1%
t	7957	7.9%
s	6890	6.9%
o	5860	5.8%
r	5428	5.4%
l	5383	5.4%
c	5251	5.2%
Other values (16)	25853	25.7%

Common

Value	Count	Frequency (%)
	5085	96.7%
.	92	1.7%
2	14	0.3%
+	12	0.2%
0	10	0.2%
3	8	0.2%
&	7	0.1%
#	7	0.1%
5	6	0.1%
1	5	0.1%
Other values (8)	15	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	105731	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10884	10.3%
a	10270	9.7%
n	8532	8.1%
i	8162	7.7%
t	7957	7.5%
s	6890	6.5%
o	5860	5.5%
r	5428	5.1%
l	5383	5.1%
c	5251	5.0%
Other values (34)	31114	29.4%

skill_6
Text

Distinct	1944
Distinct (%)	21.3%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	40
Median length	30
Mean length	11.32074
Min length	1

Characters and Unicode

Total characters	103381
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1065 ?
Unique (%)	11.7%

Sample

1st row	data science
2nd row	dashboards
3rd row	statistics
4th row	business intelligence
5th row	advance excel

Value	Count	Frequency (%)
data	578	4.2%
management	416	3.0%
development	354	2.6%
web	328	2.4%
javascript	293	2.1%
html	225	1.6%
research	205	1.5%
analysis	182	1.3%
sql	177	1.3%
machine	167	1.2%
Other values (1369)	10925	78.9%

Most occurring characters

Value	Count	Frequency (%)
e	10966	10.6%
a	9575	9.3%
n	8217	7.9%
t	8099	7.8%
i	7936	7.7%
s	6847	6.6%
o	5951	5.8%
r	5670	5.5%
c	4834	4.7%
l	4820	4.7%
Other values (31)	30466	29.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98463	95.2%
Space Separator	4719	4.6%
Other Punctuation	110	0.1%
Decimal Number	75	0.1%
Math Symbol	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10966	11.1%
a	9575	9.7%
n	8217	8.3%
t	8099	8.2%
i	7936	8.1%
s	6847	7.0%
o	5951	6.0%
r	5670	5.8%
c	4834	4.9%
l	4820	4.9%
Other values (16)	25548	25.9%

Decimal Number

Value	Count	Frequency (%)
2	27	36.0%
0	15	20.0%
3	14	18.7%
1	5	6.7%
4	5	6.7%
7	3	4.0%
5	3	4.0%
8	2	2.7%
6	1	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	71	64.5%
#	27	24.5%
/	9	8.2%
&	3	2.7%

Space Separator

Value	Count	Frequency (%)
	4719	100.0%

Math Symbol

Value	Count	Frequency (%)
+	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98463	95.2%
Common	4918	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10966	11.1%
a	9575	9.7%
n	8217	8.3%
t	8099	8.2%
i	7936	8.1%
s	6847	7.0%
o	5951	6.0%
r	5670	5.8%
c	4834	4.9%
l	4820	4.9%
Other values (16)	25548	25.9%

Common

Value	Count	Frequency (%)
	4719	96.0%
.	71	1.4%
#	27	0.5%
2	27	0.5%
0	15	0.3%
+	14	0.3%
3	14	0.3%
/	9	0.2%
1	5	0.1%
4	5	0.1%
Other values (5)	12	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103381	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10966	10.6%
a	9575	9.3%
n	8217	7.9%
t	8099	7.8%
i	7936	7.7%
s	6847	6.6%
o	5951	5.8%
r	5670	5.5%
c	4834	4.7%
l	4820	4.7%
Other values (31)	30466	29.5%

skill_7
Text

Distinct	1888
Distinct (%)	20.7%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	78
Median length	31
Mean length	11.028362
Min length	1

Characters and Unicode

Total characters	100711
Distinct characters	43
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1040 ?
Unique (%)	11.4%

Sample

1st row	data
2nd row	data reporting
3rd row	analytics
4th row	data management
5th row	analytical skills

Value	Count	Frequency (%)
data	572	4.2%
management	468	3.5%
development	322	2.4%
web	316	2.3%
html	245	1.8%
javascript	214	1.6%
research	205	1.5%
sql	191	1.4%
software	166	1.2%
analytics	162	1.2%
Other values (1326)	10677	78.9%

Most occurring characters

Value	Count	Frequency (%)
e	10521	10.4%
a	9165	9.1%
n	8208	8.2%
t	8097	8.0%
i	7636	7.6%
s	6839	6.8%
o	6157	6.1%
r	5600	5.6%
c	4518	4.5%
l	4436	4.4%
Other values (33)	29534	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	96094	95.4%
Space Separator	4406	4.4%
Other Punctuation	105	0.1%
Decimal Number	94	0.1%
Math Symbol	11	< 0.1%
Open Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10521	10.9%
a	9165	9.5%
n	8208	8.5%
t	8097	8.4%
i	7636	7.9%
s	6839	7.1%
o	6157	6.4%
r	5600	5.8%
c	4518	4.7%
l	4436	4.6%
Other values (16)	24917	25.9%

Decimal Number

Value	Count	Frequency (%)
2	30	31.9%
0	15	16.0%
3	12	12.8%
4	9	9.6%
8	8	8.5%
1	8	8.5%
5	5	5.3%
7	4	4.3%
6	2	2.1%
9	1	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	94	89.5%
#	5	4.8%
/	3	2.9%
&	3	2.9%

Space Separator

Value	Count	Frequency (%)
	4406	100.0%

Math Symbol

Value	Count	Frequency (%)
+	11	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	96094	95.4%
Common	4617	4.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10521	10.9%
a	9165	9.5%
n	8208	8.5%
t	8097	8.4%
i	7636	7.9%
s	6839	7.1%
o	6157	6.4%
r	5600	5.8%
c	4518	4.7%
l	4436	4.6%
Other values (16)	24917	25.9%

Common

Value	Count	Frequency (%)
	4406	95.4%
.	94	2.0%
2	30	0.6%
0	15	0.3%
3	12	0.3%
+	11	0.2%
4	9	0.2%
8	8	0.2%
1	8	0.2%
#	5	0.1%
Other values (7)	19	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100711	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10521	10.4%
a	9165	9.1%
n	8208	8.2%
t	8097	8.0%
i	7636	7.6%
s	6839	6.8%
o	6157	6.1%
r	5600	5.6%
c	4518	4.5%
l	4436	4.4%
Other values (33)	29534	29.3%

skill_8
Text

Distinct	1806
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	37
Median length	28
Mean length	10.78767
Min length	1

Characters and Unicode

Total characters	98513
Distinct characters	40
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	999 ?
Unique (%)	10.9%

Sample

1st row	science
2nd row	advance excel
3rd row	data
4th row	data analysis
5th row	sql

Value	Count	Frequency (%)
data	477	3.6%
management	406	3.1%
development	339	2.5%
sql	298	2.2%
web	258	1.9%
html	237	1.8%
analytics	213	1.6%
software	193	1.5%
business	191	1.4%
research	184	1.4%
Other values (1261)	10501	79.0%

Most occurring characters

Value	Count	Frequency (%)
e	10047	10.2%
n	8303	8.4%
a	8245	8.4%
t	7934	8.1%
i	7831	7.9%
s	6923	7.0%
o	6816	6.9%
r	5333	5.4%
c	4372	4.4%
l	4274	4.3%
Other values (30)	28435	28.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	94190	95.6%
Space Separator	4166	4.2%
Other Punctuation	86	0.1%
Decimal Number	49	< 0.1%
Math Symbol	22	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10047	10.7%
n	8303	8.8%
a	8245	8.8%
t	7934	8.4%
i	7831	8.3%
s	6923	7.4%
o	6816	7.2%
r	5333	5.7%
c	4372	4.6%
l	4274	4.5%
Other values (16)	24112	25.6%

Decimal Number

Value	Count	Frequency (%)
2	23	46.9%
3	14	28.6%
4	4	8.2%
1	2	4.1%
7	2	4.1%
0	2	4.1%
8	1	2.0%
5	1	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	78	90.7%
/	6	7.0%
#	1	1.2%
&	1	1.2%

Space Separator

Value	Count	Frequency (%)
	4166	100.0%

Math Symbol

Value	Count	Frequency (%)
+	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94190	95.6%
Common	4323	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10047	10.7%
n	8303	8.8%
a	8245	8.8%
t	7934	8.4%
i	7831	8.3%
s	6923	7.4%
o	6816	7.2%
r	5333	5.7%
c	4372	4.6%
l	4274	4.5%
Other values (16)	24112	25.6%

Common

Value	Count	Frequency (%)
	4166	96.4%
.	78	1.8%
2	23	0.5%
+	22	0.5%
3	14	0.3%
/	6	0.1%
4	4	0.1%
1	2	< 0.1%
7	2	< 0.1%
0	2	< 0.1%
Other values (4)	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98513	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10047	10.2%
n	8303	8.4%
a	8245	8.4%
t	7934	8.1%
i	7831	7.9%
s	6923	7.0%
o	6816	6.9%
r	5333	5.4%
c	4372	4.4%
l	4274	4.3%
Other values (30)	28435	28.9%

is_remote
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

0	8878
1	254

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9132
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8878	97.2%
1	254	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8878	97.2%
1	254	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	8878	97.2%
1	254	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9132	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8878	97.2%
1	254	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	9132	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8878	97.2%
1	254	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8878	97.2%
1	254	2.8%

norm_review
Real number (ℝ)

Distinct	41
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.70254599

Minimum	0
Maximum	1
Zeros	49
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	0.625
median	0.75
Q3	0.825
95-th percentile	0.975
Maximum	1
Range	1
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.19208394
Coefficient of variation (CV)	0.27341119
Kurtosis	1.7893354
Mean	0.70254599
Median Absolute Deviation (MAD)	0.1
Skewness	-1.1316837
Sum	6415.65
Variance	0.036896239
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0.75	1039	11.4%
0.775	671	7.3%
0.8	584	6.4%
0.725	530	5.8%
0.7	526	5.8%
0.825	477	5.2%
0.675	455	5.0%
1	437	4.8%
0.65	427	4.7%
0.85	377	4.1%
Other values (31)	3609	39.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	49	0.5%
0.025	25	0.3%
0.05	34	0.4%
0.075	34	0.4%
0.1	17	0.2%
0.125	27	0.3%
0.15	20	0.2%
0.175	29	0.3%
0.2	28	0.3%
0.225	33	0.4%

Value	Count	Frequency (%)
1	437	4.8%
0.975	154	1.7%
0.95	202	2.2%
0.925	263	2.9%
0.9	189	2.1%
0.875	284	3.1%
0.85	377	4.1%
0.825	477	5.2%
0.8	584	6.4%
0.775	671	7.3%

norm_branches
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

0	7694
1	1438

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9132
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring characters

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9132	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	9132	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7694	84.3%
1	1438	15.7%

norm_max_year
Real number (ℝ)

Distinct	18
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.14750329

Minimum	0
Maximum	1
Zeros	54
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.066666667
Q1	0.1
median	0.13333333
Q3	0.16666667
95-th percentile	0.23333333
Maximum	1
Range	1
Interquartile range (IQR)	0.066666667

Descriptive statistics

Standard deviation	0.056260619
Coefficient of variation (CV)	0.38141943
Kurtosis	9.3456492
Mean	0.14750329
Median Absolute Deviation (MAD)	0.033333333
Skewness	1.1700083
Sum	1347
Variance	0.0031652572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0.1666666667	2064	22.6%
0.1	1935	21.2%
0.1333333333	1893	20.7%
0.2	1175	12.9%
0.06666666667	963	10.5%
0.2333333333	910	10.0%
0.2666666667	63	0.7%
0	54	0.6%
0.3333333333	38	0.4%
0.3	11	0.1%
Other values (8)	26	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	54	0.6%
0.06666666667	963	10.5%
0.1	1935	21.2%
0.1333333333	1893	20.7%
0.1666666667	2064	22.6%
0.2	1175	12.9%
0.2333333333	910	10.0%
0.2666666667	63	0.7%
0.3	11	0.1%
0.3333333333	38	0.4%

Value	Count	Frequency (%)
1	1	< 0.1%
0.6666666667	2	< 0.1%
0.6	1	< 0.1%
0.5333333333	1	< 0.1%
0.5	9	0.1%
0.4333333333	3	< 0.1%
0.4	7	0.1%
0.3666666667	2	< 0.1%
0.3333333333	38	0.4%
0.3	11	0.1%

composite_score
Real number (ℝ)

Distinct	253
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0075175

Minimum	0.066666667
Maximum	2.275
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.5 KiB

Quantile statistics

Minimum	0.066666667
5-th percentile	0.48333333
Q1	0.78333333
median	0.91666667
Q3	1.0666667
95-th percentile	1.95
Maximum	2.275
Range	2.2083333
Interquartile range (IQR)	0.28333333

Descriptive statistics

Standard deviation	0.42074486
Coefficient of variation (CV)	0.4176055
Kurtosis	0.93367673
Mean	1.0075175
Median Absolute Deviation (MAD)	0.14166667
Skewness	1.1503076
Sum	9200.65
Variance	0.17702624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9166666667	245	2.7%
0.8833333333	237	2.6%
0.85	234	2.6%
0.95	195	2.1%
0.9083333333	174	1.9%
0.9833333333	171	1.9%
0.8166666667	169	1.9%
0.925	160	1.8%
0.9416666667	156	1.7%
0.8416666667	156	1.7%
Other values (243)	7235	79.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.06666666667	4	< 0.1%
0.09166666667	1	< 0.1%
0.1	10	0.1%
0.1166666667	4	< 0.1%
0.125	4	< 0.1%
0.1333333333	9	0.1%
0.15	8	0.1%
0.1583333333	2	< 0.1%
0.1666666667	12	0.1%
0.175	8	0.1%

Value	Count	Frequency (%)
2.275	1	< 0.1%
2.233333333	10	0.1%
2.208333333	2	< 0.1%
2.2	10	0.1%
2.183333333	3	< 0.1%
2.175	3	< 0.1%
2.166666667	24	0.3%
2.158333333	6	0.1%
2.15	3	< 0.1%
2.141666667	10	0.1%

Company Size
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Medium	1889
Very Small	1839
Large	1835
Small	1819
Very Large	1750

Length

Max length	10
Median length	6
Mean length	7.1719229
Min length	5

Characters and Unicode

Total characters	65494
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium
2nd row	Medium
3rd row	Very Large
4th row	Very Small
5th row	Very Large

Common Values

Value	Count	Frequency (%)
Medium	1889	20.7%
Very Small	1839	20.1%
Large	1835	20.1%
Small	1819	19.9%
Very Large	1750	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
small	3658	28.8%
very	3589	28.2%
large	3585	28.2%
medium	1889	14.8%

Most occurring characters

Value	Count	Frequency (%)
e	9063	13.8%
l	7316	11.2%
a	7243	11.1%
r	7174	11.0%
m	5547	8.5%
S	3658	5.6%
V	3589	5.5%
y	3589	5.5%
	3589	5.5%
L	3585	5.5%
Other values (5)	11141	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	49184	75.1%
Uppercase Letter	12721	19.4%
Space Separator	3589	5.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9063	18.4%
l	7316	14.9%
a	7243	14.7%
r	7174	14.6%
m	5547	11.3%
y	3589	7.3%
g	3585	7.3%
d	1889	3.8%
i	1889	3.8%
u	1889	3.8%

Uppercase Letter

Value	Count	Frequency (%)
S	3658	28.8%
V	3589	28.2%
L	3585	28.2%
M	1889	14.8%

Space Separator

Value	Count	Frequency (%)
	3589	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	61905	94.5%
Common	3589	5.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9063	14.6%
l	7316	11.8%
a	7243	11.7%
r	7174	11.6%
m	5547	9.0%
S	3658	5.9%
V	3589	5.8%
y	3589	5.8%
L	3585	5.8%
g	3585	5.8%
Other values (4)	7556	12.2%

Common

Value	Count	Frequency (%)
	3589	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65494	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9063	13.8%
l	7316	11.2%
a	7243	11.1%
r	7174	11.0%
m	5547	8.5%
S	3658	5.6%
V	3589	5.5%
y	3589	5.5%
	3589	5.5%
L	3585	5.5%
Other values (5)	11141	17.0%

Job Category
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Developer and Engineering	3396
Data and Analysis	2427
Others	1580
Marketing and Sales	545
Creative and Design	419
Other values (3)	765

Length

Max length	30
Median length	25
Mean length	18.746058
Min length	6

Characters and Unicode

Total characters	171189
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Data and Analysis
2nd row	Data and Analysis
3rd row	Data and Analysis
4th row	Data and Analysis
5th row	Data and Analysis

Common Values

Value	Count	Frequency (%)
Developer and Engineering	3396	37.2%
Data and Analysis	2427	26.6%
Others	1580	17.3%
Marketing and Sales	545	6.0%
Creative and Design	419	4.6%
Management and Strategic Roles	411	4.5%
Customer Support	259	2.8%
Research	95	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
and	7198	29.7%
developer	3396	14.0%
engineering	3396	14.0%
data	2427	10.0%
analysis	2427	10.0%
others	1580	6.5%
marketing	545	2.3%
sales	545	2.3%
creative	419	1.7%
design	419	1.7%
Other values (6)	1846	7.6%

Most occurring characters

Value	Count	Frequency (%)
e	23000	13.4%
n	21599	12.6%
a	17316	10.1%
	15066	8.8%
i	11013	6.4%
r	10360	6.1%
g	8578	5.0%
s	8163	4.8%
d	7198	4.2%
l	6779	4.0%
Other values (18)	42117	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	139123	81.3%
Uppercase Letter	17000	9.9%
Space Separator	15066	8.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	23000	16.5%
n	21599	15.5%
a	17316	12.4%
i	11013	7.9%
r	10360	7.4%
g	8578	6.2%
s	8163	5.9%
d	7198	5.2%
l	6779	4.9%
t	6722	4.8%
Other values (9)	18395	13.2%

Uppercase Letter

Value	Count	Frequency (%)
D	6242	36.7%
E	3396	20.0%
A	2427	14.3%
O	1580	9.3%
S	1215	7.1%
M	956	5.6%
C	678	4.0%
R	506	3.0%

Space Separator

Value	Count	Frequency (%)
	15066	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	156123	91.2%
Common	15066	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	23000	14.7%
n	21599	13.8%
a	17316	11.1%
i	11013	7.1%
r	10360	6.6%
g	8578	5.5%
s	8163	5.2%
d	7198	4.6%
l	6779	4.3%
t	6722	4.3%
Other values (17)	35395	22.7%

Common

Value	Count	Frequency (%)
	15066	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	171189	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	23000	13.4%
n	21599	12.6%
a	17316	10.1%
	15066	8.8%
i	11013	6.4%
r	10360	6.1%
g	8578	5.0%
s	8163	4.8%
d	7198	4.2%
l	6779	4.0%
Other values (18)	42117	24.6%

Primary Skill Category
Text

Distinct	52
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	71.5 KiB

Length

Max length	26
Median length	22
Mean length	14.860053
Min length	3

Characters and Unicode

Total characters	135702
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	Data Analysis
2nd row	Data Analysis
3rd row	Data Analysis
4th row	Data Analysis
5th row	Business Intelligence (BI)

Value	Count	Frequency (%)
analysis	3378	19.6%
data	3079	17.8%
management	2392	13.9%
database	861	5.0%
programming	631	3.7%
others	585	3.4%
business	529	3.1%
intelligence	529	3.1%
bi	529	3.1%
supply	460	2.7%
Other values (63)	4291	24.9%

Most occurring characters

Value	Count	Frequency (%)
a	20678	15.2%
n	14106	10.4%
e	12110	8.9%
s	10680	7.9%
t	8871	6.5%
	8132	6.0%
i	7391	5.4%
l	5277	3.9%
g	4801	3.5%
r	4564	3.4%
Other values (35)	39092	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	107885	79.5%
Uppercase Letter	18607	13.7%
Space Separator	8132	6.0%
Open Punctuation	539	0.4%
Close Punctuation	539	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	20678	19.2%
n	14106	13.1%
e	12110	11.2%
s	10680	9.9%
t	8871	8.2%
i	7391	6.9%
l	5277	4.9%
g	4801	4.5%
r	4564	4.2%
m	4360	4.0%
Other values (15)	15047	13.9%

Uppercase Letter

Value	Count	Frequency (%)
D	3941	21.2%
A	3502	18.8%
M	3211	17.3%
I	1304	7.0%
B	1061	5.7%
P	1042	5.6%
O	872	4.7%
C	857	4.6%
S	823	4.4%
L	782	4.2%
Other values (7)	1212	6.5%

Space Separator

Value	Count	Frequency (%)
	8132	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	539	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	539	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	126492	93.2%
Common	9210	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	20678	16.3%
n	14106	11.2%
e	12110	9.6%
s	10680	8.4%
t	8871	7.0%
i	7391	5.8%
l	5277	4.2%
g	4801	3.8%
r	4564	3.6%
m	4360	3.4%
Other values (32)	33654	26.6%

Common

Value	Count	Frequency (%)
	8132	88.3%
(	539	5.9%
)	539	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135702	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	20678	15.2%
n	14106	10.4%
e	12110	8.9%
s	10680	7.9%
t	8871	6.5%
	8132	6.0%
i	7391	5.4%
l	5277	3.9%
g	4801	3.5%
r	4564	3.4%
Other values (35)	39092	28.8%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Job_role	Company	job_pay	location	review	Job post length	min_year	max_year	more_branch	+3_branches	days	skill_1	skill_2	skill_3	skill_4	skill_5	skill_6	skill_7	skill_8	is_remote	norm_review	norm_branches	norm_max_year	composite_score	Company Size	Job Category	Primary Skill Category
0	Data Analyst	Outscal Technologies	1500000.0	Remote	4.3	12	0	3	1	0	19	data analysis	data visualization	tableau	python	sql	data science	data	science	1	0.825	0	0.100000	0.925000	Medium	Data and Analysis	Data Analysis
1	Data Analyst	Redbus	550000.0	Bangalore Rural	4.3	12	1	3	2	0	7	sql	mis reporting	vlookup	data analysis	advance excel	dashboards	data reporting	advance excel	0	0.825	0	0.100000	0.925000	Medium	Data and Analysis	Data Analysis
2	Data Analyst	Amiha Agro	350000.0	Ahmedabad(Shyamal Cross Road)	2.2	12	2	4	3	1	5	statistical data analysis	data analytics	data visualization	data reporting	reporting	statistics	analytics	data	0	0.300	1	0.133333	1.433333	Very Large	Data and Analysis	Data Analysis
3	Data Analyst	A K Infra Reality Developers	237500.0	Lucknow	3.1	12	2	4	1	0	2	data visualization	data extraction	statistics	data reporting	analytics	business intelligence	data management	data analysis	0	0.525	0	0.133333	0.658333	Very Small	Data and Analysis	Data Analysis
4	Data Analyst	Bolla Management	562500.0	Hyderabad(Kondapur)	5.0	12	2	6	1	0	7	vba coding	power bi	advance excel	sql	sql	advance excel	analytical skills	sql	0	1.000	0	0.200000	1.200000	Very Large	Data and Analysis	Business Intelligence (BI)
5	Data Analyst	Envision Software Engineering Pvt.Ltd	725000.0	Coimbatore	3.7	12	2	7	1	0	7	mis	troubleshooting skills	analytical skills	communicational skills	client interaction	interpretation	ms office	client	0	0.675	0	0.233333	0.908333	Medium	Data and Analysis	Data Analysis
6	Data Analyst	Growing E-commerce client of Societas Services.	750000.0	Mumbai (All Areas)(Vikhroli)	4.1	12	2	5	3	1	4	advance excel	advance excel	vlookup	hlookup	microsoft	advance excel	data analysis	data	0	0.775	1	0.166667	1.941667	Very Large	Data and Analysis	Data Analysis
7	Data Analyst	Connect India	550000.0	Bengaluru(HSR Layout)	3.2	35	2	7	2	0	8	python	front end	tableau	react.js	data	data analysis	end	development	0	0.550	0	0.233333	0.783333	Small	Data and Analysis	Data Analysis
8	Data Analyst	Annapurna Finance	900000.0	Bhubaneswar	4.1	12	1	6	1	0	11	adhoc analysis	power bi	advance excel	sql	data	bi	adhoc testing	data analysis	0	0.775	0	0.200000	0.975000	Large	Data and Analysis	Data Analysis
9	Data Analyst	Amneal Pharmaceuticals	537500.0	Ahmedabad(Prahlad Nagar)	4.3	43	2	7	2	0	12	billing	accounts payable	invoicing	data analysis	payables	accounting	sustainability	hiring	0	0.825	0	0.233333	1.058333	Large	Data and Analysis	Data Analysis

	Job_role	Company	job_pay	location	review	Job post length	min_year	max_year	more_branch	days	skill_1	skill_2	skill_3	skill_4	skill_5	skill_6	skill_7	skill_8	norm_review	norm_max_year	composite_score	Company Size	Job Category	Primary Skill Category
9122	Software Developer	Solytics Partners	8.796782e+05	Pune	4.0	16	2	6	1	30	rca	multithreading	web technologies	web services	oops	data structures	unit testing	engineering design	0.750	0.200000	0.950000	Medium	Developer and Engineering	Computer Science
9123	Web Developer	Relay Human Cloud	1.127076e+06	Ahmedabad	4.2	19	2	5	1	30	project management	sql	sql	web development	javascript	php	html	ruby	0.800	0.166667	0.966667	Large	Developer and Engineering	Database Management
9124	Chat Support Executive	Plutonapps	8.572058e+05	Kolkata	2.9	16	1	4	1	4	relationship management	web technologies	data science	intern	machine learning	corporate	javascript	mongodb	0.475	0.133333	0.608333	Very Small	Customer Support	Machine Learning
9125	Manager	ASK Eva Ask Executive Virtual Assistance	2.740776e+05	Madurai	2.9	24	2	5	1	4	web technologies	retention management	client retention	cxo	management	retention	customer focus	client	0.475	0.166667	0.641667	Very Small	Customer Support	Management
9126	Associate	Commissum	1.630115e+05	Bengaluru	2.9	14	1	3	1	4	remediation	change management	information security analyst	web technologies	cloud services	information security	vulnerability	vulnerability management	0.475	0.100000	0.575000	Very Small	Others	Business Intelligence (BI)
9127	Associate	CPP Investments	6.299904e+05	Bengaluru	2.9	19	2	5	1	30	analytical skills	side	css	web technologies	debugging	senior associate l1	javascript	data structures	0.475	0.166667	0.641667	Very Small	Others	Data Analysis
9128	Associate	CPP Investments	5.411625e+05	Mumbai	2.9	34	1	3	1	30	automation	manual testing	web technologies	senior associate quality assurance	defect tracking	test cases	sdlc	testing	0.475	0.100000	0.575000	Very Small	Others	Supply Chain Management
9129	Associate	Eurofins	1.630115e+05	Bengaluru	3.0	14	1	3	1	30	remediation	change management	information security analyst	web technologies	cloud services	information security	vulnerability	vulnerability management	0.500	0.100000	0.600000	Very Small	Others	Business Intelligence (BI)
9130	Developer	Vimerse Infotech	5.390104e+05	Chennai	3.5	31	2	7	1	30	css	web services	hybris	impex	jsp	sap erp	hibernate	sap hybris	0.625	0.233333	0.858333	Small	Developer and Engineering	Research and Analysis
9131	Tech_role/lead_role	Accenture	9.581746e+05	Pune	4.0	20	2	4	1	26	sap	application development	software development life cycle	troubleshooting	sdlc	rest	web services	sap erp	0.750	0.133333	0.883333	Medium	Others	Performance Management

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Close Punctuation

Open Punctuation

Math Symbol

Space Separator

Dash Punctuation

Connector Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Punctuation

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category